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Report actuals (hours, final cents, crew).

report_outcome

Report actuals (hours, final cents, crew). Secret key only. Scope: outcomes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoUp to 1000 chars
job_idYesThe job id (ULID)
actual_crewNo
actual_hoursNo
actual_total_centsNoWhat was actually billed, in integer cents. Currency travels beside it — never assume USD.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only indicate readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the description still carries some burden. It adds useful auth context ('Secret key only') and names the data being reported, but it does not disclose whether this creates or overwrites an outcome, whether it is idempotent, or what side effects reporting actuals may have.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and front-loads the core action. Every phrase is compact, though 'Scope: outcomes' is somewhat redundant with the tool name and the description duplicates the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating tool with five parameters, weak annotations, and no output schema, this description is incomplete. It omits what 'reporting actuals' does to the job, whether fields can be omitted, how the secret key is supplied, and how this differs from related job/submission tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 60%, so the schema documents job_id, notes, and actual_total_cents but not actual_hours or actual_crew. The description labels 'hours, final cents, crew', which maps to the undocumented parameters, but adds no units, constraints, or required/optional context beyond their names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Report' and the resource 'actuals' with specific components (hours, final cents, crew), so an agent can tell what the tool captures. However, it does not explicitly differentiate this from sibling tools like submit_job or ballpark_estimate, even though 'actuals' implies a post-completion action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as submit_job or quote_inventory. 'Scope: outcomes' is too vague to serve as a usage condition, and there is no statement of prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.5/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: job lifecycle, upload steps, quote variants, key management, and webhook replay are clearly separated. Even the three pricing tools are differentiated by context (pre-job ballpark, direct quote, date-window pricing).

Naming Consistency4/5

Almost all tools follow a verb_noun snake_case pattern (create_job, list_jobs, set_contact, rotate_key). Minor deviations like ballpark_estimate (no verb) and get_cube_sheet_csv (format suffix) keep it from being perfectly consistent.

Tool Count2/5

32 tools is a large surface for a survey tool, crossing the 25+ threshold. Many key-management and webhook-delivery tools feel like a separate API admin surface rather than core survey workflow.

Completeness4/5

The core survey flow is well covered: create job, capture contact/access/date, upload video, edit inventory, approve, book, and report outcome. Minor gaps like no cancel/delete job or webhook subscription management are workarounds.

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